A CONCISE REVIEW ON ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL SCIENCES

The pharmaceutical industry is changing fast, and the list of AI applications being integrated is growing daily, changing virtually every aspect of pharmaceutical processes from drug discovery to delivery. Artificial intelligence in pharmaceuticals can be applied across many different operations, such as drug discovery, clinical trials, and supply chain optimization, in addition to increasing speed and accuracy, it offers new avenues for individualized treatment and innovative therapeutic solutions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-30
DOI
https://doi.org/10.5281/zenodo.21704438
Primary Topic
Big Data and Digital Economy
Type
article
Field-Weighted Citation Impact
0.00
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article

A CONCISE REVIEW ON ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL SCIENCES

Mahesh Babu, P. Swathi, A. Aparna, Bharathi G.
Zenodo (CERN European Organization for Nuclear Research)
Big Data and Digital Economy
article

A CONCISE REVIEW ON ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL SCIENCES

Mahesh Babu, P. Swathi, A. Aparna, Bharathi G.
article en

Abstract

The pharmaceutical industry is changing fast, and the list of AI applications being integrated is growing daily, changing virtually every aspect of pharmaceutical processes from drug discovery to delivery. Artificial intelligence in pharmaceuticals can be applied across many different operations, such as drug discovery, clinical trials, and supply chain optimization, in addition to increasing speed and accuracy, it offers new avenues for individualized treatment and innovative therapeutic solutions.

Zenodo (CERN European Organization for Nuclear Research)
University College for Women (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Big Data and Digital Economy
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